Dr Chao Liu
Research Associate
- liuc64@cardiff.ac.uk
- +44 7916760234
- Room W/2.14, Queen's Buildings - West Building, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Overview
I am currently working as a Research Associate on the project MANUELA (Machine learning applied to pilot lines built around the use of metal additive manufacturing), funded by Horizon 2020. My current research focuses on the development of data analytic tools (e.g. machine learning, data mining) to support the understanding, the optimisation and the multi-scale and multi-physics simulation of Metal Additive Layer Manufacturing.
I received my PhD at The University of Auckland, New Zealand, in the area of advanced manufacturing in 2018. My Master's and Bachelor's degrees were both obtained in Mechanical Engineering from Northeastern University, China in 2014 and 2012.
My research interests cover a wide range of topics in the area of advanced manufacturing, including Machine Learning, Metal Additive Manufacturing, Digital Twin, Industry 4.0, Cyber-Physical Systems (CPS), Internet of Things (IoT), big data analytics, Augmented Reality (AR), data communication standards, etc.
Honours and Awards
2018: Erasmus+ grant for 3 months PhD research visit at Technical University of Kosice, Slovakia. 02/2018 – 05/2018.
2019: Invited to attend DAAD Postdoctoral Researchers’ Networking Tour 2019, Germany, 09/2019.
Biography
Education:
- 2014-2018: PhD (Mechanical Engineering) The University of Auckland, New Zealand.
- 2012-2014: Master (Mechanical Design and Theory) Northeastern University, China.
- 2008-2012: Bacholer (Mechanical Engineering and Automation) Northeastern University, China.
Honours and awards
2018: Erasmus+ grant for 3 months PhD research visit at Technical University of Kosice, Slovakia. 02/2018 – 05/2018.
Committees and reviewing
Selected Journal referees:
- Robotics and Computer-Integrated Manufacturing (Outstanding Reviewer: 11.2018)
- Journal of Manufacturing Systems
- Computers & Industrial Engineering
- International Journal of Production Research
- Journal of Intelligent Manufacturing
- Journal of Mechanical Design
- Annual Reviews in Control
Conference special session organizer:
- Co-organizer of special session - “Digital Twin: Theories, challenges, methodologies and applications” at the 48th International Conference on Computers and Industrial Engineering (CIE 48), Auckland, New Zealand, 2018.
Publications
2022
- Liu, C., Le Roux, L., Körner, C., Tabaste, O., Lacan, F. and Bigot, S. 2022. Digital twin-enabled collaborative data management for metal additive manufacturing systems. Journal of Manufacturing Systems 62, pp. 857-874. (10.1016/j.jmsy.2020.05.010)
2021
- Le Roux, L. et al. 2021. Automatised quality assessment in additive layer manufacturing using layer-by-layer surface measurements and deep learning. Presented at: 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2020, Naples, Italy, 15-17 July 2020, Vol. 99. Elsevier pp. 342-347., (10.1016/j.procir.2021.03.050)
2020
- Lu, Y., Liu, C., Wang, K. I., Huang, H. and Xu, X. 2020. Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing 61, article number: 101837. (10.1016/j.rcim.2019.101837)
2019
- Kajati, E., Papcun, P., Liu, C., Zhong, R. Y., Koziorek, J. and Zolotova, I. 2019. Cloud based cyber-physical systems: Network evaluation study. Advanced Engineering Informatics 42, article number: 100988. (10.1016/j.aei.2019.100988)
- Zhu, Z., Liu, C. and Xu, X. 2019. Visualisation of the digital twin data in manufacturing by using augmented reality. Procedia CIRP 81, pp. 898-903. (10.1016/j.procir.2019.03.223)
- Liu, C., Vengayil, H., Lu, Y. and Xu, X. 2019. A cyber-physical machine tools platform using OPC UA and MTConnect. Journal of Manufacturing Systems 51, pp. 61-74. (10.1016/j.jmsy.2019.04.006)
- Lu, Y., Huang, H., Liu, C. and Xu, X. 2019. Standards for smart manufacturing: A review. Presented at: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), University of British Columbia, Vancouver, BC, Canada, 22-26 August 2019Proceedings 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). IEEE pp. -., (10.1109/COASE.2019.8842989)
2018
- Liu, C., Hong, X., Zhu, Z. and Xu, X. 2018. Machine tool digital twin: Modelling methodology and applications. Presented at: The 48th International Conference on Computers and Industrial Engineering (CIE 48), Auckland, New Zealand, 02 December 2018. pp. -.
- Kubota, T., Liu, C., Mubarok, K. and Xu, X. 2018. A cyber-physical machine tool framework based on STEP-NC. Presented at: The 48th International Conference on Computers and Industrial Engineering (CIE 48), Auckland, New Zealand, 02 December 2018Proceedings of International Conference on Computers and Industrial Engineering, Vol. 2018. pp. -.
- Papcun, P., Kajati, E., Liu, C. and Zhong, R. Y. 2018. Cloud-based control of industrial cyber-physical systems. Presented at: The 48th International Conference on Computers and Industrial Engineering (CIE 48), Auckland, New Zealand, 02 December 2018Proceedings of International Conference on Computers and Industrial Engineering. pp. -.
- Liu, C., Vengayil, H., Zhong, R. Y. and Xu, X. 2018. A systematic development method for cyber-physical machine tools. Journal of Manufacturing Systems 48, pp. 13-24. (10.1016/j.jmsy.2018.02.001)
- Liu, C., Xu, X., Peng, Q. and Zhou, Z. 2018. MTConnect-based Cyber-Physical Machine Tool: a case study. Procedia CIRP 72, pp. 492-497. (10.1016/j.procir.2018.03.059)
- Zheng, P. et al. 2018. Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering 13(2), pp. 137-150. (10.1007/s11465-018-0499-5)
- Deng, C., Guo, R., Zheng, P., Liu, C., Xu, X. and Zhong, R. Y. 2018. From Open CNC systems to Cyber-Physical machine tools: a case study. Procedia CIRP 72, pp. 1270-1276. (10.1016/j.procir.2018.03.110)
- Wardhani, R., Liu, C., Mubarok, K. and Xu, X. 2018. An approach to complete product definition using STEP in cloud manufacturing. Presented at: ASME 2018 13th International Manufacturing Science and Engineering Conference, Texas, USA, 18–22 June 2019Additive Manufacturing; Bio and Sustainable Manufacturing, Vol. 1. ASME pp. V001T05A021., (10.1115/MSEC2018-6613)
2017
- Deng, C., Guo, R., Liu, C., Zhong, R. Y. and Xu, X. 2017. Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system. International Journal of Production Research 56(1-2), pp. 1000-1015. (10.1080/00207543.2017.1394596)
- Liu, C. and Xu, X. 2017. Cyber-physical machine tool - The era of machine tool 4.0. Procedia CIRP 63, pp. 70-75. (10.1016/j.procir.2017.03.078)
- Liu, C., Cao, S., Tse, W. and Xu, X. 2017. Augmented Reality-assisted Intelligent Window for Cyber-Physical Machine Tools. Journal of Manufacturing Systems 44, pp. 280-286. (10.1016/j.jmsy.2017.04.008)
- Zheng, P., Xu, X., Yu, S. and Liu, C. 2017. Personalized product configuration framework in an adaptable open architecture product platform. Journal of Manufacturing Systems 43, pp. 422-435. (10.1016/j.jmsy.2017.03.010)